Vol. I — N°1Brussels → Namur (BE)Est. 2025

NeuraSense

Precision Mental Health

Biological Signal Intelligence — Folio I

The biological signature of mental health.

NeuraSense turns non-invasive biology into a stratified, auditable signal across the mental-health spectrum — one reusable engine, proven first on burnout.

See the platform → Request a briefing

Literature-groundedAuditable by designNon-diagnostic

Note · I
External voice

“

We need to bring the same rigor to mental disorders that we use elsewhere in medicine — measurable, biological signals instead of relying solely on what people report.

Thomas Insel, M.D. — former Director, U.S. National Institute of Mental Health (2002–2015)

Cited
in context

One engine, many conditions

A single validated core. A growing library of modules.

The NeuraScore engine is built once. Each new condition ships as a rule pack on top of it — burnout first, more in the pipeline.

Explore all modules →

Field figures

A market shaped by unmet measurement.

15%

Belgian workers reporting emotional exhaustion.

SPF Emploi · 2021

^€2B+

Annual cost of burnout & depression absences in Belgium.

INAMI · 2023

^€1.5B+

Addressable European market for stress & burnout testing.

Grand View Research · 2024

The gap we close

Symptom checklists where there should be signal.

Standard of care

Clinical judgment, alone.

i.Diagnosis by symptom checklist (MBI / BAT)
ii.Self-reported — prone to bias and late detection
iii.No biological basis to separate overlapping conditions

The NeuraSense method

Evidence, measured.

i.Non-invasive multi-axis biological panel
ii.Stratified score, confidence tier and action route
iii.Every line traceable to a peer-reviewed source

Built with the Walloon research ecosystem —

BioWin

CHU Liège

UCLouvain

DNAlytics

Quality Assistance

The engine

One deterministic engine. Many modules.

NeuraScore converts a biological panel and structured context into a stratified score, a confidence tier and an action route — every line traceable.

Runtime · per sample

Inputs

Non-invasive panel + structured context.

Normalisation & hard gates.

Agents

Independent axis sub-scores.

Judge

Two-domain convergence.

Governor

Calibration & confidence cap.

Report

Score, confidence, action route.

Why it holds up

[ I ]

Golden Thread.

Every output line traces back to its rule, evidence grade and source — exportable and reviewable end to end.

[ II ]

Governed by design.

The runtime is fully deterministic. Rules stay frozen and versioned; nothing is improvised per sample.

[ III ]

Reusable core.

Each module adds a rule pack; the engine core is unchanged — decreasing marginal cost per condition.

From literature to readout

Nothing reaches a report without a rule, and no rule without a citation. The knowledge base is built once from graded, DOI-traceable sources; the engine then runs deterministically per sample. Outputs are designed to land in the workflows clinicians and occupational-health teams already use — structured, defensible, and ready to support a decision. Non-diagnostic by design.

The module library

One collection. Many conditions.

Each module is an independent rule pack running on the same engine. A single non-invasive collection can serve several modules at once.

Adding a module is a knowledge-base exercise, not an engineering one — a new literature corpus and a calibration run, on an engine and pipeline that stay unchanged. The result: near-zero incremental sample cost as the library grows. The platform is the asset, not any single test.

Scientific basis

Reading mental health as biology, not category.

Burnout, low mood and anxiety overlap on a continuous spectrum. We read that spectrum through biological domains — not discrete diagnostic boxes.

Two frameworks

[ RDoC ]

Domains, not labels.

The NIMH Research Domain Criteria organise mental health by transversal biological domains rather than categories.

[ METABOLIC ]

Energy, inflammation, rhythm.

Metabolic psychiatry reframes these conditions as partly disorders of brain energy, inflammation and circadian regulation.

[ SIGNAL ]

Measured, not asked.

A non-invasive multi-axis panel makes these domains observable and stratifiable.

Biomarker → domain

Each marker anchored to a recognised domain.

HPA axis — cortisol, DHEA-S→Arousal & regulation

Catecholaminergic — normetanephrine→Negative valence + arousal

Kynurenine / Trp · neopterin→Negative valence (neuro-immune)

8-OHdG→Oxidative load

Evidence & validation

The rule base is built from a graded, DOI-traceable literature corpus, with a structured context instrument guarding interpretation against behavioural confounds. The first module is validated on a cohort of Walloon workers against established burnout inventories — with explicit detection of masked burnout, where biology and self-report diverge.

The company

A matrixed team in three poles.

A focused core team, specialist consultants and Walloon subcontractors — coordinated across science, engineering and partnerships.

Pole · Science

Véronique Bodo

CSO · biomarkers, GRADE

Emma Biggs

Health psychology · context design

Thierry Ferain

Institutional · BioWin, S3

Pole · Data & Engineering

Ameur Dhouieb

Founder / CEO · engine architecture

Claudio Reggiani

Data engineering · ML

François Blistein

DSP & AI · MLOps

Pole · Management

Katty Prentice

COO · CRO & regulatory

Ameur Dhouieb

Strategy · B2B pilots

Partners network

Institutional & union network

Ecosystem

[ COHORT ]

DICE CRO

Recruitment, coordination and pseudonymisation of the validation cohort.

[ ANALYTICS ]

Quality Assistance

LC-MS/MS assays, ISO 15189-accredited (Wallonia).

[ EXPERTISE ]

DNAlytics · Covartim

Biostatistics & modelling · regulatory affairs (IVDR/CE).

Contact

Request a briefing.

For employers, occupational-health teams, clinicians and partners. NeuraCorp SRL — Brussels → Namur, Wallonia.

[email protected]See the platform →